Year-end Sale % OFF 
Abstract
The problem of developing a brief description of the text of a web page is investigated. The brief description was created by using the Transformer machine learning architecture, which in a pre-trained state allows you to summarize the text. In the course of implementation, the model of generating text abstraction is investigated. The possibilities of the model are investigated, due to which features it is able to process and annotate text. The results of the model are analyzed and compared with the results of the work of other referencing models, which explains the choice of the studied model.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
